from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.playground import Playground
from agno.storage.sqlite import SqliteStorage
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.tools.yfinance import YFinanceTools
agent_storage: str = "tmp/agents.db"
web_agent = Agent(
name="Web Agent",
model=OpenAIChat(id="gpt-4o"),
tools=[DuckDuckGoTools()],
instructions=["Always include sources"],
# Store the agent sessions in a sqlite database
storage=SqliteStorage(table_name="web_agent", db_file=agent_storage),
# Adds the current date and time to the instructions
add_datetime_to_instructions=True,
# Adds the history of the conversation to the messages
add_history_to_messages=True,
# Number of history responses to add to the messages
num_history_responses=5,
# Adds markdown formatting to the messages
markdown=True,
)
finance_agent = Agent(
name="Finance Agent",
model=OpenAIChat(id="gpt-4o"),
tools=[YFinanceTools(stock_price=True, analyst_recommendations=True, company_info=True, company_news=True)],
instructions=["Always use tables to display data"],
storage=SqliteStorage(table_name="finance_agent", db_file=agent_storage),
add_datetime_to_instructions=True,
add_history_to_messages=True,
num_history_responses=5,
markdown=True,
)
playground_app = Playground(agents=[web_agent, finance_agent])
app = playground_app.get_app()
if __name__ == "__main__":
playground_app.serve("playground:app", reload=True)
